2021 60th IEEE Conference on Decision and Control (CDC) 2021
DOI: 10.1109/cdc45484.2021.9683428
|View full text |Cite
|
Sign up to set email alerts
|

Output Feedback Control of DC-DC Converters with Unknown Load: An Application of I&I Based Filtered Transformation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 14 publications
0
2
0
Order By: Relevance
“…A PE-like assumption on the states and control input is needed to guarantee the state and the parameter estimation in [23]. The detectability obstacle is tackled by an immersion and invariance (I&I) based observer design for a DC-DC boost converter with unknown load conductance in [25] which is extended to a class of DC-DC converters in [26]. Both of these works need to sense the input and output voltage.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A PE-like assumption on the states and control input is needed to guarantee the state and the parameter estimation in [23]. The detectability obstacle is tackled by an immersion and invariance (I&I) based observer design for a DC-DC boost converter with unknown load conductance in [25] which is extended to a class of DC-DC converters in [26]. Both of these works need to sense the input and output voltage.…”
Section: Introductionmentioning
confidence: 99%
“…In [27], an output feedback controller is proposed for the DC-DC boost converter, which requires knowledge about output load conductance. The proposed algorithms in [25], [26], and [27] are based on a lossless model of the converter with considering the saturation of the control input. A generalized parameter estimation-based observer (GPEO) is designed for a class of converters, including boost converters, under a weaker convergence condition than PE in [28].…”
Section: Introductionmentioning
confidence: 99%